The Packaging Robots Market size was estimated at USD 6.02 billion in 2023 and is expected to reach USD 16.67 billion by 2032 at a CAGR of 11.98% during the forecast period of 2024-2032. This report highlights some prominent trends include the rising penetration of collaborative robots (cobots) across various industries, further augmenting production efficiency and decreasing labor costs. Robots are being improved in terms of adaptability and flexibility through AI. Technological advances are in the areas of energy efficiency and accommodating products with irregular shapes. Market share and adoption rates are highest in the Asia-Pacific region, where industrialization is most widespread and automated processes are in high demand. Similar growth can be seen in North America and Europe as well, with a stronger emphasis on predictive maintenance and real-time monitoring along with an increased integration between IoT.
DRIVERS
The growing demand for automation in industries, including packaging, drives the adoption of robots to boost productivity, cut labor costs, and ensure consistent quality.
The increased demand for automation across various industries, particularly packaging, is a key driver for the adoption of packaging robots. Automating activities enables the businesses to optimize their process, and hence this results in a high amount of improvement in the productivity level due to lesser time consumption in performing similar activities. This efficiency improvement also results in lower labor costs, as robots are very cheap to operate and replace humans for tasks on a mass scale. Moreover, using robotic arms for packaging ensures that the products are of consistent quality, as there is no scope of human error and the right amount is packaged every single time. This trend also creates a pressing demand for more efficient and dependable packaging solutions, specifically in sectors with surging demands, like e-commerce, fueling the transition to automation. As businesses aim to keep up with rising consumer expectations on speed and quality while driving down operational costs, packaging robots have become a strategic option that drives long-term improvement in both cost-per-pack and operational efficiency.
RESTRAINT
The high initial investment for purchasing and installing packaging robots can be a barrier for SMEs with limited budgets, delaying their adoption of automation.
The high initial investment required for purchasing and installing packaging robots can be a significant barrier, especially for small and medium-sized enterprises (SMEs). While these machines offer long-term cost savings, the initial outlay is considerable, with purchase price, installation, and any necessary customisation for specific packaging needs, all to factor in. For small business owners with constrained budgets, this upfront cost may be disincentivizing them to put money toward automating their processes. The cost of training personnel to work the robots and the cost to establish efficient integration into existing systems also add to the costs. Big companies may have the capital to absorb these costs, but SMEs struggle to justify the cost which is unlikely to pay off in the short-term. Consequently, despite the long-term operational efficiency these solutions can bring, many SMEs may postpone or avoid implementation of robotic solutions altogether, thus potentially compromising their competitive advantage in an ever-automated market.
OPPORTUNITY
Robotic as a Service (RaaS) allows businesses to lease packaging robots, reducing upfront costs and offering flexible, scalable automation solutions.
Robotic as a Service (RaaS) is a business model that enables companies to lease robotic systems, such as packaging robots, rather than purchasing them outright. This model helps businesses, especially small and medium-sized enterprises (SMEs), reduce the high capital expenditures associated with buying expensive robots. RaaS provides more financial flexibility because you trade capital expenses in exchange for operational expenses in the form of subscription-based payments. It also gives companies access to the latest tech without the long-term commitment of ownership. RaaS also allows businesses to scope their robotic capabilities according to the changing demand, enabling them to remain competitive while limiting potential investments in equipment that may quickly become outdated. Moreover, since RaaS vendors usually take care of maintenance, application updates, and troubleshooting, organizations need less specialized in-house expertise. It is especially useful for companies interested in automating their packaging processes, but not in a position to make the usual large capital expenditure necessary for robotic systems.
CHALLENGES
Workforce resistance to automation arises from fears of job displacement, requiring clear communication and retraining to ease transitions.
Workforce resistance to automation is a significant challenge for companies adopting robotic systems, especially in the packaging industry. In recent times employees have often feared losing their jobs as robots have taken over repetitive and manual jobs, raising job security concerns. A lack of knowledge about the potential benefits including less physical strain and the ability to concentrate on high-value tasks is driving this resistance, Companies must engage in robust change management, communicating to staff that automation is a way to support, not supplement, their role. Re-training and reskilling employees can help you transition employees into higher-skilled roles in the organization. Engaging workers in decisions and being open about the effects of automation on their jobs can also help release resistance. Successfully managing this cultural shift ensures that automation is embraced, leading to a smoother integration of robotic systems into packaging operations.
By Robot Type
The Cobots segment dominated packaging robots market with a revenue share of over 42% in 2023, because of their exceptional flexibility, safety features, and seamless integration into existing packaging workflows. Unlike conventional industrial robots, cobots have been designed specifically to work alongside human operators in a joint workspace, helping to eliminate the need for expensive safety fences, which can consume space. With their pain-free programming and versatility, they are perfect for small to mid-sized firms that want to automate without forcing an interruption in business processes. Cobots further enhance operational efficiency by automating repetitive tasks, freeing up human workers to concentrate on more complex activities. This combination of safety, flexibility, and ease of integration has driven their widespread adoption across industries, including food, pharmaceuticals, and consumer goods packaging, making them the dominant force in the market.
By Operation Type
The Pick and Place segment dominated with a market share of over 32% in 2023, due to their versatility and widespread adoption across various industries. These types of robots play an important role in the handling and packing of products and are indispensable in sectors such as food and beverage, pharmaceuticals and consumer goods. They are commonly used in automated production lines by picking and placing goods from one spot to a packaged spot or container. This form of operation is well-suited for rapid production, minimizing human labor and boosting overall efficiency. Pick and Place segment is also the leading segment of Packing Robots Market, as companies are gaining synergies derived from these businesses for greater efficiency and lowering costs to focus on the growth opportunities.
By Industry
The Consumer Goods segment dominated with a market share of over 35% in 2023, driven by the increasing demand for automation to improve efficiency and reduce labor costs. With the strains of high production volumes and product quality, packaging companies have turned to robotics to take on these tasks. Personal care products, home goods and small consumer electronics fall into this category, and demand robotic solutions that optimise packaging operations. These machines provide high precision, flexibility, and consistency enabling quicker production cycles along with less involvement of human labor. Moreover, owing to the growth of e-commerce and need for customized packaging solutions, robotics are being embraced in this industry faster than ever before and making it the leading segment in the market.
North America region dominated with a market share of over 38% in 2023, driven by its well-established automation ecosystem and strong technological advancements. high labor costs throughout the region, there has been a rapid shift to much more robotic-based solutions that are efficient and cost effective. All of that has been accelerated by the growing adoption of Industry 4.0 technologies, including AI, IoT, and machine learning. As consumer demand rises, industries such as food & beverage, Pharmaceuticals, and e-commerce are gradually trying towards making packaging automated to improve their productivity. The presence of key robotic manufacturers and consistent R&D investments also aids in the market expansion. This and many other factors make North America the key destination for packaging automation and innovation.
The Asia-Pacific region is the fastest-growing region for packaging robots market, driven by rising labor costs, rapid industrialization, and strong government support for automation. countries including China, Japan and India are experiencing industrial development primarily fueled by manufacturing components, such as food & beverage, pharmaceuticals, and e-commerce that can reduce business expenses through automated packaging options. The consumer base is expanding, resulting in high demand for packaged products, which would further stimulate market growth. In addition, advanced technologies, particularly AI robotics and the cobots, are likewise being incorporated into production lines as part of the business sector.
ABB (Switzerland): Robotics and automation solutions for packaging processes.
Syntegon Technology GmbH (Germany): Packaging machines and automation for pharmaceutical and
food industries.
YASKAWA ELECTRIC CORPORATION (Japan): Robotics for packaging and automation.
Universal Robots (U.S.): Collaborative robots for packaging tasks.
Mitsubishi Electric Corporation (Japan): Robots and automation for packaging applications.
NACHI-FUJIKOSHI CORP. (Japan): Robotics and automation solutions for various packaging needs.
Doosan Robotics (South Korea): Collaborative robots for packaging and material handling.
Comau SpA (Italy): Industrial robots for packaging and automation in various industries.
KUKA AG (Germany): Robotics and automation solutions for packaging and material handling.
Krones Group (Germany): Packaging technology and automation solutions for beverage industries.
FANUC CORPORATION (Japan): Robotics for packaging, material handling, and automation.
Schubert Group (Germany): Automation solutions for packaging in the food and pharmaceutical sectors.
DENSO CORPORATION (Japan): Robotics for packaging, material handling, and industrial automation.
Kawasaki Heavy Industries, Ltd. (Japan): Robotics for packaging, assembly, and material handling.
Omron Corporation (Japan): Automation and robotics solutions for packaging processes.
Bastian Solutions (U.S.): Automation systems, including robotics for packaging.
Marel (Iceland): Robotics for food packaging and processing automation.
Rockwell Automation (U.S.): Packaging automation systems with robotics integration.
Siemens (Germany): Robotics and automation systems for packaging industries.
Pacepacker Services (U.K.): Custom robotic packaging solutions for various industries.
Suppliers for (high-speed packaging, palletizing, and material handling. Known for their flexibility and innovation in automation solutions) on Packaging Robots Market
ABB
Syntegon Technology GmBH
YASKAWA ELECTRIC CORPORATION
Universal Robots
Mitsubishi Electric Corporation
NACHI-FUJIKOSHI CORP.
Doosan Robotics
Comau SpA
KUKA AG
Krones Group
In August 2024: Syntegon Group sold its liquid food filling business, Osgood Industries, LLC, and Ampack GmbH, to DUBAG Group. The companies, now part of Ceratech Group, specialize in filling and packaging equipment for preformed cups and bottles.
In March 2024: ABB opened its upgraded U.S. robotics headquarters and manufacturing facility in Auburn Hills, Michigan. This expansion strengthens ABB’s presence in the U.S. market, supporting robotics growth and job creation. It is part of ABB’s global strategy to enhance Robotics and Automation capacity, marking its third major robotics facility expansion in three years, following developments in China and Europe.
Report Attributes | Details |
---|---|
Market Size in 2023 |
USD 6.02 Billion |
Market Size by 2032 |
USD 16.67 Billion |
CAGR |
CAGR of 11.98% From 2024 to 2032 |
Base Year |
2023 |
Forecast Period |
2024-2032 |
Historical Data |
2020-2022 |
Report Scope & Coverage |
Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
Key Segments |
• By Robot Type (Delta Robots, Scara Robots, Cobots, Others (CRX Robots) |
Regional Analysis/Coverage |
North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia, Rest of Latin America) |
Company Profiles |
ABB, Syntegon Technology GmbH, YASKAWA ELECTRIC CORPORATION, Universal Robots, Mitsubishi Electric Corporation, NACHI-FUJIKOSHI CORP., Doosan Robotics, Comau SpA, KUKA AG, Krones Group, FANUC CORPORATION, Schubert Group, DENSO CORPORATION, Kawasaki Heavy Industries, Ltd., Omron Corporation, Bastian Solutions, Marel, Rockwell Automation, Siemens, Pacepacker Services. |
Ans: The Packaging Robots Market is expected to grow at a CAGR of 11.98% during 2024-2032.
Ans: The Packaging Robots Market was USD 6.02 billion in 2023 and is expected to Reach USD 16.67 billion by 2032.
Ans: The growing demand for automation in industries, including packaging, drives the adoption of robots to boost productivity, cut labor costs, and ensure consistent quality.
Ans: The “Cobots” segment dominated the Packaging Robots Market.
Ans: North America dominated the Packaging Robots Market in 2023
1. Introduction
1.1 Market Definition
1.2 Scope (Inclusion and Exclusions)
1.3 Research Assumptions
2. Executive Summary
2.1 Market Overview
2.2 Regional Synopsis
2.3 Competitive Summary
3. Research Methodology
3.1 Top-Down Approach
3.2 Bottom-up Approach
3.3. Data Validation
3.4 Primary Interviews
4. Market Dynamics
4.1 Market Analysis
4.1.1 Drivers
4.1.2 Restraints
4.1.3 Opportunities
4.1.4 Challenges
4.2 PESTLE Analysis
4.3 Porter’s Five Forces Model
5. Statistical Insights and Trends Reporting
5.2 Adoption Rates of Packaging Robots, by Region (2023)
5.2 Technological Advancements and Integration, by Region (2023)
5.3 Export/Import Data of Packaging Robots, by Region (2023)
6. Competitive Landscape
6.1 List of Major Companies, By Region
6.2 Market Share Analysis, By Region
6.3 Product Benchmarking
6.3.1 Product specifications and features
6.3.2 Pricing
6.4 Strategic Initiatives
6.4.1 Marketing and promotional activities
6.4.2 Distribution and Supply Chain Strategies
6.4.3 Expansion plans and new product launches
6.4.4 Strategic partnerships and collaborations
6.5 Technological Advancements
6.6 Market Positioning and Branding
7. Packaging Robots Market Segmentation, By Robot Type
7.1 Chapter Overview
7.2 Delta Robots
7.2.1 Delta Robots Market Trends Analysis (2020-2032)
7.2.2 Delta Robots Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3 Scara Robots
7.3.1 Scara Robots Market Trends Analysis (2020-2032)
7.3.2 Scara Robots Market Size Estimates and Forecasts to 2032 (USD Billion)
7.4 Cobots
7.4.1 Cobots Market Trends Analysis (2020-2032)
7.4.2 Cobots Market Size Estimates and Forecasts to 2032 (USD Billion)
7.5 Others (CRX Robots)
7.5.1 Others (CRX Robots) Market Trends Analysis (2020-2032)
7.5.2 Others (CRX Robots) Market Size Estimates and Forecasts to 2032 (USD Billion)
8. Packaging Robots Market Segmentation, By Operation Type
8.1 Chapter Overview
8.2 Pick and Place
8.2.1 Pick and Place Market Trends Analysis (2020-2032)
8.2.2 Pick and Place Market Size Estimates and Forecasts to 2032 (USD Billion)
8.3 Case Packaging
8.3.1 Case Packaging Market Trends Analysis (2020-2032)
8.3.2 Case Packaging Market Size Estimates and Forecasts to 2032 (USD Billion)
8.4 Palletizing
8.4.1 Palletizing Market Trends Analysis (2020-2032)
8.4.2 Palletizing Market Size Estimates and Forecasts to 2032 (USD Billion)
8.5Others (Handling Products)
8.5.1 Others (Handling Products) Market Trends Analysis (2020-2032)
8.5.2 Others (Handling Products) Market Size Estimates and Forecasts to 2032 (USD Billion)
9. Packaging Robots Market Segmentation, By Industry
9.1 Chapter Overview
9.2 Food and Beverage
9.2.1 Food and Beverage Market Trends Analysis (2020-2032)
9.2.2 Food and Beverage Market Size Estimates and Forecasts to 2032 (USD Billion)
9.3 Pharmaceutical
9.3.1 Pharmaceutical Trends Analysis (2020-2032)
9.3.2 Pharmaceutical Size Estimates and Forecasts to 2032 (USD Billion)
9.4 Consumer Goods
9.4.1 Consumer Goods Market Trends Analysis (2020-2032)
9.4.2 Consumer Goods Market Size Estimates and Forecasts to 2032 (USD Billion)
9.5 Electronics
9.5.1 Electronics Market Trends Analysis (2020-2032)
9.5.2 Electronics Market Size Estimates and Forecasts to 2032 (USD Billion)
9.6 Others (Retail)
9.6.1 Others (Retail) Market Trends Analysis (2020-2032)
9.6.2 Others (Retail) Market Size Estimates and Forecasts to 2032 (USD Billion)
10. Regional Analysis
10.1 Chapter Overview
10.2 North America
10.2.1 Trends Analysis
10.2.2 North America Packaging Robots Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.2.3 North America Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.2.4 North America Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.2.5 North America Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.2.6 USA
10.2.6.1 USA Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.2.6.2 USA Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.2.6.3 USA Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.2.7 Canada
10.2.7.1 Canada Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.2.7.2 Canada Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.2.7.3 Canada Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.2.8 Mexico
10.2.8.1 Mexico Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.2.8.2 Mexico Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.2.8.3 Mexico Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.3 Europe
10.3.1 Eastern Europe
10.3.1.1 Trends Analysis
10.3.1.2 Eastern Europe Packaging Robots Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.1.3 Eastern Europe Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.3.1.4 Eastern Europe Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.3.1.5 Eastern Europe Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.3.1.6 Poland
10.3.1.6.1 Poland Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.3.1.6.2 Poland Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.3.1.6.3 Poland Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.3.1.7 Romania
10.3.1.7.1 Romania Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.3.1.7.2 Romania Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.3.1.7.3 Romania Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.3.1.8 Hungary
10.3.1.8.1 Hungary Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.3.1.8.2 Hungary Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.3.1.8.3 Hungary Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.3.1.9 Turkey
10.3.1.9.1 Turkey Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.3.1.9.2 Turkey Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.3.1.9.3 Turkey Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.3.1.10 Rest of Eastern Europe
10.3.1.10.1 Rest of Eastern Europe Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.3.1.10.2 Rest of Eastern Europe Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.3.1.10.3 Rest of Eastern Europe Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.3.2 Western Europe
10.3.2.1 Trends Analysis
10.3.2.2 Western Europe Packaging Robots Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.2.3 Western Europe Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.3.2.4 Western Europe Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.3.2.5 Western Europe Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.3.2.6 Germany
10.3.2.6.1 Germany Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.3.2.6.2 Germany Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.3.2.6.3 Germany Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.3.2.7 France
10.3.2.7.1 France Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.3.2.7.2 France Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.3.2.7.3 France Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.3.2.8 UK
10.3.2.8.1 UK Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.3.2.8.2 UK Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.3.2.8.3 UK Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.3.2.9 Italy
10.3.2.9.1 Italy Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.3.2.9.2 Italy Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.3.2.9.3 Italy Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.3.2.10 Spain
10.3.2.10.1 Spain Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.3.2.10.2 Spain Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.3.2.10.3 Spain Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.3.2.11 Netherlands
10.3.2.11.1 Netherlands Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.3.2.11.2 Netherlands Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.3.2.11.3 Netherlands Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.3.2.12 Switzerland
10.3.2.12.1 Switzerland Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.3.2.12.2 Switzerland Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.3.2.12.3 Switzerland Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.3.2.13 Austria
10.3.2.13.1 Austria Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.3.2.13.2 Austria Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.3.2.13.3 Austria Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.3.2.14 Rest of Western Europe
10.3.2.14.1 Rest of Western Europe Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.3.2.14.2 Rest of Western Europe Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.3.2.14.3 Rest of Western Europe Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.4 Asia-Pacific
10.4.1 Trends Analysis
10.4.2 Asia-Pacific Packaging Robots Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.4.3 Asia-Pacific Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.4.4 Asia-Pacific Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.4.5 Asia-Pacific Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.4.6 China
10.4.6.1 China Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.4.6.2 China Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.4.6.3 China Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.4.7 India
10.4.7.1 India Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.4.7.2 India Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.4.7.3 India Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.4.8 Japan
10.4.8.1 Japan Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.4.8.2 Japan Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.4.8.3 Japan Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.4.9 South Korea
10.4.9.1 South Korea Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.4.9.2 South Korea Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.4.9.3 South Korea Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.4.10 Vietnam
10.4.10.1 Vietnam Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.4.10.2 Vietnam Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.4.10.3 Vietnam Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.4.11 Singapore
10.4.11.1 Singapore Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.4.11.2 Singapore Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.4.11.3 Singapore Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.4.12 Australia
10.4.12.1 Australia Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.4.12.2 Australia Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.4.12.3 Australia Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.4.13 Rest of Asia-Pacific
10.4.13.1 Rest of Asia-Pacific Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.4.13.2 Rest of Asia-Pacific Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.4.13.3 Rest of Asia-Pacific Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.5 Middle East and Africa
10.5.1 Middle East
10.5.1.1 Trends Analysis
10.5.1.2 Middle East Packaging Robots Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.1.3 Middle East Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.5.1.4 Middle East Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.5.1.5 Middle East Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.5.1.6 UAE
10.5.1.6.1 UAE Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.5.1.6.2 UAE Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.5.1.6.3 UAE Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.5.1.7 Egypt
10.5.1.7.1 Egypt Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.5.1.7.2 Egypt Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.5.1.7.3 Egypt Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.5.1.8 Saudi Arabia
10.5.1.8.1 Saudi Arabia Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.5.1.8.2 Saudi Arabia Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.5.1.8.3 Saudi Arabia Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.5.1.9 Qatar
10.5.1.9.1 Qatar Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.5.1.9.2 Qatar Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.5.1.9.3 Qatar Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.5.1.10 Rest of Middle East
10.5.1.10.1 Rest of Middle East Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.5.1.10.2 Rest of Middle East Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.5.1.10.3 Rest of Middle East Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.5.2 Africa
10.5.2.1 Trends Analysis
10.5.2.2 Africa Packaging Robots Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.2.3 Africa Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.5.2.4 Africa Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.5.2.5 Africa Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.5.2.6 South Africa
10.5.2.6.1 South Africa Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.5.2.6.2 South Africa Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.5.2.6.3 South Africa Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.5.2.7 Nigeria
10.5.2.7.1 Nigeria Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.5.2.7.2 Nigeria Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.5.2.7.3 Nigeria Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.5.2.8 Rest of Africa
10.5.2.8.1 Rest of Africa Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.5.2.8.2 Rest of Africa Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.5.2.8.3 Rest of Africa Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.6 Latin America
10.6.1 Trends Analysis
10.6.2 Latin America Packaging Robots Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.6.3 Latin America Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.6.4 Latin America Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.6.5 Latin America Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.6.6 Brazil
10.6.6.1 Brazil Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.6.6.2 Brazil Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.6.6.3 Brazil Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.6.7 Argentina
10.6.7.1 Argentina Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.6.7.2 Argentina Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.6.7.3 Argentina Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.6.8 Colombia
10.6.8.1 Colombia Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.6.8.2 Colombia Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.6.8.3 Colombia Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
10.6.9 Rest of Latin America
10.6.9.1 Rest of Latin America Packaging Robots Market Estimates and Forecasts, By Robot Type (2020-2032) (USD Billion)
10.6.9.2 Rest of Latin America Packaging Robots Market Estimates and Forecasts, By Operation Type (2020-2032) (USD Billion)
10.6.9.3 Rest of Latin America Packaging Robots Market Estimates and Forecasts, By Industry (2020-2032) (USD Billion)
11. Company Profiles
11.1 ABB (Switzerland)
11.1.1 Company Overview
11.1.2 Financial
11.1.3 Products/ Services Offered
11.1.4 SWOT Analysis
11.2 Syntegon Technology GmBH (Germany)
11.2.1 Company Overview
11.2.2 Financial
11.2.3 Products/ Services Offered
11.2.4 SWOT Analysis
11.3 YASKAWA ELECTRIC CORPORATION (Japan)
11.3.1 Company Overview
11.3.2 Financial
11.3.3 Products/ Services Offered
11.3.4 SWOT Analysis
11.4 Universal Robots (U.S.)
11.4.1 Company Overview
11.4.2 Financial
11.4.3 Products/ Services Offered
11.4.4 SWOT Analysis
11.5 Mitsubishi Electric Corporation (Japan)
11.5.1 Company Overview
11.5.2 Financial
11.5.3 Products/ Services Offered
11.5.4 SWOT Analysis
11.6 NACHI-FUJIKOSHI CORP. (Japan)
11.6.1 Company Overview
11.6.2 Financial
11.6.3 Products/ Services Offered
11.6.4 SWOT Analysis
11.7 Doosan Robotics (South Korea)
11.7.1 Company Overview
11.7.2 Financial
11.7.3 Products/ Services Offered
11.7.4 SWOT Analysis
11.8 Comau SpA (Italy)
11.8.1 Company Overview
11.8.2 Financial
11.8.3 Products/ Services Offered
11.8.4 SWOT Analysis
11.9 KUKA AG (Germany)
11.9.1 Company Overview
11.9.2 Financial
11.9.3 Products/ Services Offered
11.9.4 SWOT Analysis
11.10 Krones Group (Germany)
11.10.1 Company Overview
11.10.2 Financial
11.10.3 Products/ Services Offered
11.10.4 SWOT Analysis
12. Use Cases and Best Practices
13. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
By Robot Type
Delta Robots
Scara Robots
Cobots
Others (CRX Robots)
By Operation Type
Pick and Place
Case Packaging
Palletizing
Others (Handling Products)
By Industry
Food and Beverage
Pharmaceutical
Consumer Goods
Electronics
Others (Retail)
Request for Segment Customization as per your Business Requirement: Segment Customization Request
Regional Coverage:
North America
US
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
Request for Country Level Research Report: Country Level Customization Request
Available Customization
With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
Detailed Volume Analysis
Criss-Cross segment analysis (e.g. Product X Application)
Competitive Product Benchmarking
Geographic Analysis
Additional countries in any of the regions
Customized Data Representation
Detailed analysis and profiling of additional market players
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